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One-way RM ANOVA, How does the amount of alcohol taken affect driving…
One-way RM ANOVA
Go to descriptives in JASP
Put all of the conditions into 'variables'
ASSUMPTIONS
1.Normality
Shapiro-Wilk test
Look at the conditions p-value of shapiro-wilk row,
IS p>.05 e.g, p=.06
normality has NOT been violated
2. Outliers
turn on box plots
ask for distribution and display density
Check for outliers
can click on 'jitter element' if you want
IF you have outliers...
you may remove the case (delete the data from the outlier participant)
1 more item...
transform the data
Change/ replace the score
1 more item...
Go to ANOVA
Click on
'Repeated Measure ANOVA'
Type the title of IV1 into 'RM Factor 1'
Type the 'levels' of your conditions below 'RM Factor 1'
Match the OG conditions up with the conditions under the header 'Repeated Measures cells'
NOW, check for Sphericity with the Mauchly test
Click on
'Assumption Checks'
Select
'Sphericity tests'
2 more items...
Go to 'Display'
click on
'descriptive statistics'
click on
'estimates of the effect size'
(n2)
Only look at the within-subjects' table -
NOW look at the p-value, is it significant?
Go to the
'descriptive plots'
drop bar
Put the IV into the
'horizontal axis'
1 more item...
Follow up test
what is your hypothesis?
One-tailed: Planned Contrast
Go to the
'contrasts'
drop bar
change 'none' to 'repeated'
Select
'confidence intervals'
Two-tailed: Post-hoc
select the
'post-hoc tests'
drop bar
Move the IV over
IF sphericity has been violated (was significant) , deselect pool the error terms'
otherwise, it is fine
1 more item...
DONE :)
How does the amount of alcohol taken affect driving abilities?
Firstly we need to check for the assumptions
go to 'statistics' and looks for the test
must have good grounds: criteria has to be clear to justify their exclusion
most common
Testing for Sphericity
